Vectorized instructive signals in cortical dendrites

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Aldi also claims it is the only major supermarket to offer paid breaks to all staff.

The California ruling went into effect on Jan. 15, and included a 30-day business suspension across the state unless the company ceased using the term in 60 days or changed its systems. Tesla responded in typical fashion: A tongue-in-cheek social post and a claim that sales would not be hit by the decision. Then, in January, the company effectively discontinued Basic Autopilot in the U.S., reshuffling its fleet offering with a standard traffic awareness mode and an option to upgrade your vehicle to FSD, now called "Full Self-Driving (Supervised)."

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Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.